12 AI conferences to attend in 2025
Stay up to date on the latest trends in AI, and further your understanding of the technology, by attending one of these industry events either in person or virtually.
AI has many practical implications for businesses. For example, virtual assistants, chatbots, retail, inventory management and security systems all use AI.
Like all technology, AI is always evolving, and industry conferences offer an excellent way to stay on top of trends such as generative AI. Businesses also need to know how they -- and their competitors -- will use GenAI to improve their processes.
Based on internet research, here are some of the most important AI conferences taking place in 2025 -- both in person and virtually. Please note conference prices can fluctuate based on many factors, such as early bird registration prices and fluctuations in currency.
1. AI in Finance Summit
When: April 15-16.
Where: New York City, N.Y.
Cost: $449 for on-demand access; $1,595-$3,295 for in-person event.
Register for the AI in Finance Summit here.
Description: Topics covered at this event include GenAI, deep learning and neural networks, machine learning for fraud detection, AI ethics and regulations, natural language processing for chatbots and synthetic data generation. There will be expert speakers from finance and banking, and multiple networking opportunities.
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Speakers include the following:
- Sonia Bhargava -- vice president and software engineer, Bank of America.
- John Chan -- director of technology in AI/ML, Raymond James.
- Lingchen Guo -- senior director of data science, Visa.
- Leonard Hawkes -- software engineer, JP Morgan Chase and Co.
- Harry Mendell – data architect technology group, Federal Reserve Bank of New York.
2. IEEE Conference on Artificial Intelligence
When: May 5-7.
Where: Santa Clara, Calif.
Cost: TBA.
Register for IEEE Conference on Artificial Intelligence here.
Description: The event is sponsored by the IEEE; IEEE Computational Intelligence Society; IEEE Systems, Man and Cybernetics Society; IEEE Signal Processing Society; and the IEEE Computer Society. Topics at the conference include healthcare, human-centered AI, robotics and AI testing.
Speakers include the following:
- Indradeep Ghosh -- CEO, Fujitsu Research of America.
- Jay Lee -- director of Industrial AI Center, University of Maryland.
- Yi-Bing Lin -- dean and chair professor, National Chiao Tung University.
3. Data Science Salon NYC
When: May 15.
Where: New York City, N.Y., and virtual.
Cost: $500.
Register for Data Science Salon NYC here.
Description: The event features a mix of technical talks, use cases and panel conversations. Topics include image recognition with machine learning, using large-scale data sets, improving data quality, machine learning best practices, data security and scaling machine learning production.
Speakers include the following:
- Kristi Baishya -- senior associate, Nomura.
- Sasibhushan Rao Chanthati -- senior software engineer, T. Rowe Price.
- Moody Hadi -- head of credit analytics, new product development, S&P Global.
- Anil Kumar Moka -- lead software engineer, Capital One.
- Sai Sharanya Nalla -- principal machine learning director, Nike.
4. Web Summit Vancouver
When: May 27-30.
Where: Vancouver, British Columbia.
Cost: $288-$5,456 (price converted from Canadian dollars).
Register for Web Summit Vancouver here.
Description: While not a purely AI-centric event, the summit touches on the technology in many contexts. Topics covered include startup ecosystem development, AI and emerging technologies, and investment strategies.
Speakers include the following:
- Max Lytvyn -- co-founder, Grammarly.
- Gary Marcus -- professor of psychology and neural science, New York University.
- Morgan McGuire – scientific computing adviser, Pasteur Labs and ISI.
- Jay Graber -- CEO, Bluesky.
- Sara Sabry -- astronaut, CEO and founder, Deep Space Initiative.
5. Machine Learning Week
When: June 2-5.
Where: Phoenix, Ariz.
Cost: $1,400-$2,395.
Register for Machine Learning Week here.
Description: This conference features keynotes, expert-led sessions and workshops, an exhibit hall and networking opportunities. Some topics covered include business leadership for machine learning operationalization, combining predictive/generative AI and deploying AI/ML.
Speakers include the following:
- James McCaffrey -- research scientist engineer, Microsoft.
- Joanne Rodrigues -- data research supervisor, state of California.
- Eric Siegel -- conference founder, Machine Learning Week.
- Mantek Singh -- machine learning engineer, Google.
- Andreas Welsch -- founder and chief AI strategist, Intelligence Briefing.
6. AI & Big Data Expo North America
When: June 4-5.
Where: Santa Clara, Calif.
Cost: $849-$1,199.
Register for AI & Big Data Expo North America here.
Description: The conference includes presentations, expert panel discussions and in-depth fireside chats. Among the topics covered are enterprise AI, machine learning, security, ethical AI, deep learning, data ecosystems and natural language processing.
Speakers include the following:
- Dom Heinrich -- global head of AI design, Coca-Cola Co.
- Chiraag Kala -- senior data scientist, AirBNB
- Jacqueline Karlin -- senior director of AI product, PayPal.
- Eleonore Fournier-Tombs -- head of anticipatory action and innovation, United Nations.
- Venkatesh Shivanna -- senior technical director of data and AI engineering, Electronic Arts.
7. Data + AI Summit 2025
When: June 9-12.
Where: San Francisco, Calif., and virtual.
Cost: $0 for virtual access; $1,295-$1,895 in person.
Register for Data + AI Summit here.
Description: The conference includes keynotes, technical sessions, hands-on training and networking opportunities built around several tracks. Tracks include analytics and business intelligence, AI, data and AI governance, data engineering and streaming, data lakehouse architecture and implementation, data sharing and collaboration, data strategy and data warehousing.
Speakers include the following:
- Ali Ghodsi -- co-founder and CEO, Databricks.
- Miranda Luna -- senior manager, Databricks.
- Robin Sutara -- field chief data strategy officer, Databricks.
- Kasey Uhlenhuth -- director of product, Databricks.
- Reynold Xin -- co-founder and chief architect, Databricks.
8. The AI Summit London 2025
When: June 11-12.
Where: London, England.
Cost: $31-$2,734 (price converted from British pounds).
Register for The AI Summit London 2025 here.
Description: This two-day conference features many expert speakers, exhibitors, demos and networking opportunities. It gives world leaders an opportunity to discuss the real-world applications of AI.
Speakers have not yet been announced.
9. Ai4 2025
When: Aug. 11-13.
Where: Las Vegas, Nev.
Cost: $0-$5,995
Register for Ai4 2025 here.
Description: Ai4 brings together industry experts to discuss AI and ML. Topics include AI agents, data strategy, generative AI, productivity tools, cybersecurity, marketing and sales.
Speakers have not yet been announced.
10. IntelliSys 2025
When: Aug. 28-29.
Where: Amsterdam and virtual.
Cost: $696 for virtual access; $949 for onsite access (price converted from British pounds).
Register for IntelliSys 2025 here.
Description: This event features sessions led by industry experts, presentations by researchers from more than 50 countries and networking opportunities.
The agenda and speakers have not yet been announced.
11. Generative AI World 2025
When: Sept. 29-30.
Where: Boston, Mass.
Cost: $1,595.
Register to be notified about Generative AI World 2025 here.
Description: Hear speakers, attend breakout sessions and network with like-minded individuals.
The agenda and speakers have not yet been announced.
12. The AI Summit New York 2025
When: Dec. 10-11.
Where: New York City, N.Y.
Cost: TBA.
Register to be notified about The AI Summit New York 2025 here.
Description: There will be sessions discussing trends, failures and successes, and networking opportunities.
The agenda and speakers have not yet been announced.
Rosa Heaton is content manager for the Learning Content group at Informa TechTarget.
Ben Lutkevich is site editor for Informa TechTarget Software Quality. Previously, he wrote definitions and features for Whatis.com.
Sarah Amsler is a senior managing editor for the Learning Content team at TechTarget.
